Manager of Preclinical Discovery Statistics

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Job Description

Are you looking for a patient-focused company that will inspire you and support your career? If so, be empowered to take charge of your future at Takeda.  Join us as a Manager of Statistics in our Cambridge, MA office.

Here, everyone matters and you will be a vital contributor to our inspiring, bold mission. As a Manager of Statistics, you will be empowered to provide statistical leadership in the design, analysis, and interpretation of preclinical drug discovery study data, promoting innovative design and analysis methodology. 

OBJECTIVE: 

• Provide statistical support for Takeda preclinical campaigns for design and analysis in the discovery and development of targets and molecules for one or more disease areas.

• Collaborate with Computational Biology, Pharmacokinetics, and Safety scientists to explore methods and implement discovery strategies to enable data-driven decision making.

• Apply frequentist, Bayesian, ML/AI fit-for-purpose statistical analyses across various projects and data types.

ACCOUNTABILITIES: 

• Contribute to representing data science function on project teams in support of preclinical studies throughout the drug discovery units and supporting functions.

• Perform end-to-end data analyses, from hypotheses formulation, experimental design, writing analysis plans, data cleaning, executing analysis, and preparing reports and documentation.

• Strengthen Takeda’s advanced analytics toolkit by identifying and applying emerging techniques, as well as by developing novel analysis tools as needed. 

• Collaborate effectively within a matrix environment, working with scientists across various areas to understand the problems in terms of its chemistry, biology, and/or physical natures and to tailor data analyses to program-specific needs. 

• Work closely with Takeda statisticians to ensure statistical issues in data analysis are addressed.

• Communicate internal and external resource and quality issues that may impact deliverables or timelines of the program.  Escalate issues to management as appropriate in a timely manner.

• Respond to regulatory questions that are statistical in nature.

• Increase the external recognition of Takeda’s data science work by participating in conferences, publishing work and developing external collaborations.

EDUCATION, EXPERIENCE AND SKILLS:

• Education in a relevant field, for example a) PhD in a field such as Statistics, Applied Mathematics, Physics, Electrical Engineering, Biomedical Engineering, or Computer Science, with some relevant experience (including internships and research assistanceships), or b) Master’s degree with a minimum of 3 years of relevant experience

• Expert-level knowledge of data science programming languages (R, Python, or similar) and experience with recommended practices for software development.

• Ability to work independently on complicated datasets, including all aspects of data analysis (data cleaning, algorithm development, statistical analysis, and documentation).

• Excellent oral and written communications skills.

• Willingness and ability to self-educate in new areas.

This position is currently classified as “ hybrid” in accordance with Takeda’s Hybrid and Remote Work policy.

Empowering Our People to Shine

Learn more at takedajobs.com.

No Phone Calls or Recruiters Please.

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Takeda Compensation and Benefits Summary

We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices.

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EEO Statement

Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.

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